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DCC
2010
IEEE
15 years 5 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
IJCNN
2007
IEEE
16 years 1 months ago
A Neural Network-based Learning Controller for Micro-sized Object Micromanipulation
Abstract— In this paper, automated micro-sized objects manipulation is investigated. The novelty of the proposed method lies on the compensation of all the nonlinear scaling forc...
Mohsen Shahini, William W. Melek, John T. W. Yeow
ICTAI
1999
IEEE
15 years 11 months ago
Neural Data Mining for Credit Card Fraud Detection
The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary di...
R. Brause, T. Langsdorf, Michael Hepp
SEKE
1993
Springer
15 years 11 months ago
A Neural Net-Based Approach to Software Metrics
Software metrics provide effective methods for characterizing software. Metrics have traditionally been composed through the definition of an equation, but this approach is limite...
Gary D. Boetticher, K. Srinivas, David Eichmann
FLAIRS
2003
15 years 8 months ago
Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study
Neural-symbolic integration concerns the integration of symbolic and connectionist systems. Distributed knowledge representation is traditionally seen under a purely symbolic pers...
Artur S. d'Avila Garcez, Luís C. Lamb, Krys...